MarTech Lead (Data & AI)

Role Overview

The MarTech Lead will drive the successful delivery of a complex and evolving marketing technology roadmap spanning customer engagement, data infrastructure, performance marketing measurement, and AI enablement. The role requires a hands-on technologist who can take technical ownership of the marketing technology stack, diagnose and resolve data quality issues directly, and use AI tools to automate manual work.

What You Will Do

The MarTech Lead will own the SFMC -> Braze migration, personally validate data and journey parity between SFMC and Braze, and identify and fix migration-related data issues directly. Additionally, the role will involve building the source of truth data, defining the technical architecture for a unique source of truth, and managing integrations of 3rd-party tools.

Why It Might Be a Fit

The ideal candidate is a technologist who is comfortable operating in ambiguity, can connect the dots between teams, and has strong SQL and Python skills. The role offers a high level of autonomy, a competitive salary, and a flexible benefits package, making it an exciting opportunity for a motivated individual.

Requirements

• Strong ability to translate business objectives into structured delivery plans, requirements, and documentation
• Clear, confident communication skills with the ability to work effectively across teams with different priorities, disciplines, and levels of technical understanding
• Experience managing multiple initiatives in parallel, including coordination of external vendors and delivery partners, while maintaining focus on outcomes
• Strong SQL and comfort working in BigQuery or an equivalent warehouse
• Working proficiency in Python (or another mainstream language) for scripting data checks, automation, and pipeline debugging
• Practical experience building with AI/LLM tools
• Experience owning (not just contributing to) at least one platform migration or major data integration project
• Comfort designing data architecture, schema decisions, identity resolution, reconciling conflicting data across systems

Benefits

• Competitive salary
• Flexible Benefits Package on top of your salary (12%)
• Private medical cover for you and your family
• Life insurance
• Contribution to gym memberships
• 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
• The option to buy or sell holiday days
• A comprehensive global and local onboarding process
• Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents

Tagged as: BigQuery, Python, SQL